Key Features

Seven-billion-parameter action model.
Robot action prediction.
Joint video-action training.
Embodiment-specific fine-tuning.
Released model weights.
Open fine-tuning recipe.
Low-latency policy inference.
Hybrid planning-and-control experiments.

Robotics developers can investigate fast local control and combine action prediction with a separate reasoning model for difficult planning. Core capabilities include Seven-billion-parameter action model, Robot action prediction, Joint video-action training, and Embodiment-specific fine-tuning.


Public code or model weights are linked from the project, with setup instructions for running or adapting the system. Additional characteristics include Released model weights, Open fine-tuning recipe, Low-latency policy inference, and Hybrid planning-and-control experiments.

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